110 citations · 110 across the 2 of their papers we have counts for
3 papers
Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection
Thomas Welchowski, Verena Zuber, Matthias Schmid
Background: The development of classification methods for personalized medicine is highly dependent on the identification of predictive genetic markers. In survival analysis it is…
Mendelian randomization with fine-mapped genetic data: choosing from large numbers of correlated instrumental variables
Stephen Burgess, Verena Zuber, Elsa Valdes-Marquez +2
Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine-mapped genetic data, there may be hundreds of gen…
Gene ranking and biomarker discovery under correlation
Verena Zuber, Korbinian Strimmer
Biomarker discovery and gene ranking is a standard task in genomic high throughput analysis. Typically, the ordering of markers is based on a stabilized variant of the t-score, suc…